Offensive language is pervasive in social media. Online communities, social media platforms, and technology companies have been investing heavily in ways to cope with offensive language to prevent abusive behavior in social media. One of the most effective strategies to tackle this problem is to use computational methods to identify offense, aggression, and hate speech in user-generated content (e.g. posts, comments, microblogs, etc.).

In OffensEval we provide participants with a dataset containing posts from social media. The trial and training sets are available. The evaluation phase starts in January 2019.

Sub-tasks

In OffensEval we break down offensive content into three sub-tasks taking the type and target of offensive messages into account: